Francisco Javier Monreal Arizmendi
These genes emerged as significant features for machine learning in predicting glioma progression stages, achieving 87% accuracy and 93% AUC in a 3-year survival prediction through Kaplan-Meier analysis. This framework provides deeper insights into the cellular machinery of glioma, revealing key molecular relationships that may inform prognosis and therapeutic strategies.
Francisco Javier Monreal Arizmendi
Francisco Javier Monreal Arizmendi